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Record W2892872038 · doi:10.1017/ice.2018.221

Hand hygiene opportunities on Canadian acute-care inpatient units: A multicenter observational study

2018· article· en· W2892872038 on OpenAlexaffabout
Dhruv Nayyar, Christine Moore, Liz McCreight, Chiana Garvida, Emily Xu, Alex Kiss, Daniel Ricciuto, Allison McGeer, Jerome A. Leis

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2018
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsLakeridge HealthHealth Sciences CentreSunnybrook Health Science CentreMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsObservational studyHygieneMedicineMulticenter studyEmergency medicineRandomized controlled trialInpatient careMEDLINEAcute careMedical emergencyIntensive care medicineHealth careSurgeryInternal medicine

Abstract

fetched live from OpenAlex

In this multicenter observational study, medical and surgical inpatient rooms were randomized to receive 1 hour of continuous direct observation to determine hand hygiene opportunities (HHOs). After multivariable adjustment, HHOs were similar across inpatient units and hospitals. This estimate could serve to calibrate electronic hand hygiene monitoring systems for Canadian medical and surgical units.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.145
GPT teacher head0.369
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2018
Admission routes2
Has abstractyes

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